code: def mobilenetv3_small_100(pretrained=False, **kwargs):
      """MobileNet V3 Small 1.0"""
      model = _gen_mobilenet_v3(
          "mobilenetv3_small_100", 1.0, pretrained=pretrained, **kwargs
      )
      return model
  
imports: import torch.nn
  import torch.nn.functional
  from .activations import get_act_fn, get_act_layer, HardSwish
  from .config import layer_config_kwargs
  from .conv2d_layers import select_conv2d
  from .helpers import load_pretrained
  from .efficientnet_builder import *
label_desc: Use image node_id 9 for calling a global function with example usage: mobilenetv3_small_100(pretrained) and returns: model